We have data on 874 companies that use HP ArcSight Connectors. The companies using HP ArcSight Connectors are most often found in United States and in the Computer Software industry. HP ArcSight Connectors is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for HP ArcSight Connectors usage goes back as far as 6 years and 10 months.
|Company||George Mason University|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Security Information and Event Management (SIEM). By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Security Information and Event Management (SIEM) category, HP ArcSight Connectors has a market share of about 1.2%. Other major and competing products in this category include:
HP ArcSight Connectors automate the process of collecting and managing logs from any device and in any format through normalization and categorization of logs into a unified format known as Common Event Format (CEF), which is now an industry standard for log format. This unified data can be used for searching, reporting, analyzing or storing logs. ArcSight Connectors also manage ongoing updates, upgrades, configuration changes and administration of distributed deployments through a centralized web-based interface. It can be deployed as software or on an appliance.
Looking at HP ArcSight Connectors customers by industry, we find that Computer Software (23%), Information Technology and Services (15%), Banking (7%) and Government Administration (6%) are the largest segments.
65% of HP ArcSight Connectors customers are in United States.
Of all the customers that are using HP ArcSight Connectors, 16% are small (<50 employees), 35% are medium-sized and 48% are large (>1000 employees).
Of all the customers that are using HP ArcSight Connectors, 39% are small (<$50M), 9% are medium-sized and 44% are large (>$1000M).